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Estimation of the size of the female sex worker population in Rwanda using three different methods

HIV prevalence is disproportionately high among female sex workers compared to the general population. Many African countries lack useful data on the size of female sex worker populations to inform national HIV programmes. A female sex worker size estimation exercise using three different venue-base...

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Autores principales: Mutagoma, Mwumvaneza, Kayitesi, Catherine, Gwiza, Aimé, Ruton, Hinda, Koleros, Andrew, Gupta, Neil, Balisanga, Helene, Riedel, David J, Nsanzimana, Sabin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4931710/
https://www.ncbi.nlm.nih.gov/pubmed/25336306
http://dx.doi.org/10.1177/0956462414555931
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author Mutagoma, Mwumvaneza
Kayitesi, Catherine
Gwiza, Aimé
Ruton, Hinda
Koleros, Andrew
Gupta, Neil
Balisanga, Helene
Riedel, David J
Nsanzimana, Sabin
author_facet Mutagoma, Mwumvaneza
Kayitesi, Catherine
Gwiza, Aimé
Ruton, Hinda
Koleros, Andrew
Gupta, Neil
Balisanga, Helene
Riedel, David J
Nsanzimana, Sabin
author_sort Mutagoma, Mwumvaneza
collection PubMed
description HIV prevalence is disproportionately high among female sex workers compared to the general population. Many African countries lack useful data on the size of female sex worker populations to inform national HIV programmes. A female sex worker size estimation exercise using three different venue-based methodologies was conducted among female sex workers in all provinces of Rwanda in August 2010. The female sex worker national population size was estimated using capture–recapture and enumeration methods, and the multiplier method was used to estimate the size of the female sex worker population in Kigali. A structured questionnaire was also used to supplement the data. The estimated number of female sex workers by the capture–recapture method was 3205 (95% confidence interval: 2998–3412). The female sex worker size was estimated at 3348 using the enumeration method. In Kigali, the female sex worker size was estimated at 2253 (95% confidence interval: 1916–2524) using the multiplier method. Nearly 80% of all female sex workers in Rwanda were found to be based in the capital, Kigali. This study provided a first-time estimate of the female sex worker population size in Rwanda using capture–recapture, enumeration, and multiplier methods. The capture–recapture and enumeration methods provided similar estimates of female sex worker in Rwanda. Combination of such size estimation methods is feasible and productive in low-resource settings and should be considered vital to inform national HIV programmes.
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spelling pubmed-49317102016-07-07 Estimation of the size of the female sex worker population in Rwanda using three different methods Mutagoma, Mwumvaneza Kayitesi, Catherine Gwiza, Aimé Ruton, Hinda Koleros, Andrew Gupta, Neil Balisanga, Helene Riedel, David J Nsanzimana, Sabin Int J STD AIDS Original Research Articles HIV prevalence is disproportionately high among female sex workers compared to the general population. Many African countries lack useful data on the size of female sex worker populations to inform national HIV programmes. A female sex worker size estimation exercise using three different venue-based methodologies was conducted among female sex workers in all provinces of Rwanda in August 2010. The female sex worker national population size was estimated using capture–recapture and enumeration methods, and the multiplier method was used to estimate the size of the female sex worker population in Kigali. A structured questionnaire was also used to supplement the data. The estimated number of female sex workers by the capture–recapture method was 3205 (95% confidence interval: 2998–3412). The female sex worker size was estimated at 3348 using the enumeration method. In Kigali, the female sex worker size was estimated at 2253 (95% confidence interval: 1916–2524) using the multiplier method. Nearly 80% of all female sex workers in Rwanda were found to be based in the capital, Kigali. This study provided a first-time estimate of the female sex worker population size in Rwanda using capture–recapture, enumeration, and multiplier methods. The capture–recapture and enumeration methods provided similar estimates of female sex worker in Rwanda. Combination of such size estimation methods is feasible and productive in low-resource settings and should be considered vital to inform national HIV programmes. SAGE Publications 2014-10-20 2015-10 /pmc/articles/PMC4931710/ /pubmed/25336306 http://dx.doi.org/10.1177/0956462414555931 Text en © The Author(s) 2015 http://creativecommons.org/licenses/by-nc/3.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 3.0 License (http://www.creativecommons.org/licenses/by-nc/3.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research Articles
Mutagoma, Mwumvaneza
Kayitesi, Catherine
Gwiza, Aimé
Ruton, Hinda
Koleros, Andrew
Gupta, Neil
Balisanga, Helene
Riedel, David J
Nsanzimana, Sabin
Estimation of the size of the female sex worker population in Rwanda using three different methods
title Estimation of the size of the female sex worker population in Rwanda using three different methods
title_full Estimation of the size of the female sex worker population in Rwanda using three different methods
title_fullStr Estimation of the size of the female sex worker population in Rwanda using three different methods
title_full_unstemmed Estimation of the size of the female sex worker population in Rwanda using three different methods
title_short Estimation of the size of the female sex worker population in Rwanda using three different methods
title_sort estimation of the size of the female sex worker population in rwanda using three different methods
topic Original Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4931710/
https://www.ncbi.nlm.nih.gov/pubmed/25336306
http://dx.doi.org/10.1177/0956462414555931
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